This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

A Image Classifier which uses InceptionV3 model for multiclassification by Training the Last Layer of the Model with custom Images.

Implementation of Image Captioning Model using CNNs and LSTMs

A artificial intelligence project which detects the fire and smoke before the accident causing huge loses. The work depicts the techniques like object detection, which are in todays world taking great heights. A proposal to a new method based on a deep learning approach, which uses a convolutional neural network that employs dilated convolutions…

A Flower Classification Project using pre trained model - InceptionV3 with 78 % accuracy which classifies five different types of flowers.

Transfer Learning Method is used to detect whether it is cat or dog.

ios app using CoreML , Training model : Inceptionv3

This is a project for the udacity nano degree on neural networks and this involves a dog breed classifier using CNN.

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

An iOS app used to detect whether the image captured is of Hotdog or not.